Level of Automation Forms a Key Aspect of Autonomy Design
The concept of different levels of automation (LOAs) has been pervasive in the automation literature since its introduction by Sheridan and Verplanck. LOA taxonomies have been very useful in guiding understanding of how automation affects human cognition and performance, with several practical and t...
Gespeichert in:
Veröffentlicht in: | Journal of cognitive engineering and decision making 2018-03, Vol.12 (1), p.29-34 |
---|---|
1. Verfasser: | |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 34 |
---|---|
container_issue | 1 |
container_start_page | 29 |
container_title | Journal of cognitive engineering and decision making |
container_volume | 12 |
creator | Endsley, Mica R. |
description | The concept of different levels of automation (LOAs) has been pervasive in the automation literature since its introduction by Sheridan and Verplanck. LOA taxonomies have been very useful in guiding understanding of how automation affects human cognition and performance, with several practical and theoretical benefits. Over the past several decades a wide body of research has been conducted on the impact of various LOAs on human performance, workload, and situation awareness (SA). LOA has a significant effect on operator SA and level of engagement that helps to ameliorate out-of-the-loop performance problems. Together with other aspects of system design, including adaptive automation, granularity of control, and automation interface design, LOA is a fundamental design characteristic that determines the ability of operators to provide effective oversight and interaction with system autonomy. LOA research provides a solid foundation for guiding the creation of effective human–automation interaction, which is critical for the wide range of autonomous and semiautonomous systems currently being developed across many industries. |
doi_str_mv | 10.1177/1555343417723432 |
format | Article |
fullrecord | <record><control><sourceid>sage_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1177_1555343417723432</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_1555343417723432</sage_id><sourcerecordid>10.1177_1555343417723432</sourcerecordid><originalsourceid>FETCH-LOGICAL-c330t-13c4e78b56be019b2513084917720c07a9bfd36bc03cad46d8c6a64dde167ba23</originalsourceid><addsrcrecordid>eNp1T0tLxDAYDKJgXb17zB-Ifnm2OZbVdcWCFz2XJE2XLttmSbpC_70tqxfB0wzMgxmE7ik8UJrnj1RKyQUXM2czsguUMao0kcDZJcoWmSz6NbpJaQ8gZaF0hnTlv_wBhxaXpzH0ZuzCgDch9gkb_OYnXKajd-OvYQj9hJ986nbDLbpqzSH5ux9coc_N88d6S6r3l9d1WRHHOYyEcid8XliprAeqLZOUQyH0shMc5EbbtuHKOuDONEI1hVNGiabxVOXWML5CcO51MaQUfVsfY9ebONUU6uV6_ff6HCHnSDI7X-_DKQ7zwv_936WZVxU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Level of Automation Forms a Key Aspect of Autonomy Design</title><source>Access via SAGE</source><creator>Endsley, Mica R.</creator><creatorcontrib>Endsley, Mica R.</creatorcontrib><description>The concept of different levels of automation (LOAs) has been pervasive in the automation literature since its introduction by Sheridan and Verplanck. LOA taxonomies have been very useful in guiding understanding of how automation affects human cognition and performance, with several practical and theoretical benefits. Over the past several decades a wide body of research has been conducted on the impact of various LOAs on human performance, workload, and situation awareness (SA). LOA has a significant effect on operator SA and level of engagement that helps to ameliorate out-of-the-loop performance problems. Together with other aspects of system design, including adaptive automation, granularity of control, and automation interface design, LOA is a fundamental design characteristic that determines the ability of operators to provide effective oversight and interaction with system autonomy. LOA research provides a solid foundation for guiding the creation of effective human–automation interaction, which is critical for the wide range of autonomous and semiautonomous systems currently being developed across many industries.</description><identifier>ISSN: 1555-3434</identifier><identifier>EISSN: 2169-5032</identifier><identifier>DOI: 10.1177/1555343417723432</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><ispartof>Journal of cognitive engineering and decision making, 2018-03, Vol.12 (1), p.29-34</ispartof><rights>2017, Human Factors and Ergonomics Society</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c330t-13c4e78b56be019b2513084917720c07a9bfd36bc03cad46d8c6a64dde167ba23</citedby><cites>FETCH-LOGICAL-c330t-13c4e78b56be019b2513084917720c07a9bfd36bc03cad46d8c6a64dde167ba23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/1555343417723432$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/1555343417723432$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>315,781,785,21824,27929,27930,43626,43627</link.rule.ids></links><search><creatorcontrib>Endsley, Mica R.</creatorcontrib><title>Level of Automation Forms a Key Aspect of Autonomy Design</title><title>Journal of cognitive engineering and decision making</title><description>The concept of different levels of automation (LOAs) has been pervasive in the automation literature since its introduction by Sheridan and Verplanck. LOA taxonomies have been very useful in guiding understanding of how automation affects human cognition and performance, with several practical and theoretical benefits. Over the past several decades a wide body of research has been conducted on the impact of various LOAs on human performance, workload, and situation awareness (SA). LOA has a significant effect on operator SA and level of engagement that helps to ameliorate out-of-the-loop performance problems. Together with other aspects of system design, including adaptive automation, granularity of control, and automation interface design, LOA is a fundamental design characteristic that determines the ability of operators to provide effective oversight and interaction with system autonomy. LOA research provides a solid foundation for guiding the creation of effective human–automation interaction, which is critical for the wide range of autonomous and semiautonomous systems currently being developed across many industries.</description><issn>1555-3434</issn><issn>2169-5032</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1T0tLxDAYDKJgXb17zB-Ifnm2OZbVdcWCFz2XJE2XLttmSbpC_70tqxfB0wzMgxmE7ik8UJrnj1RKyQUXM2czsguUMao0kcDZJcoWmSz6NbpJaQ8gZaF0hnTlv_wBhxaXpzH0ZuzCgDch9gkb_OYnXKajd-OvYQj9hJ986nbDLbpqzSH5ux9coc_N88d6S6r3l9d1WRHHOYyEcid8XliprAeqLZOUQyH0shMc5EbbtuHKOuDONEI1hVNGiabxVOXWML5CcO51MaQUfVsfY9ebONUU6uV6_ff6HCHnSDI7X-_DKQ7zwv_936WZVxU</recordid><startdate>201803</startdate><enddate>201803</enddate><creator>Endsley, Mica R.</creator><general>SAGE Publications</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>201803</creationdate><title>Level of Automation Forms a Key Aspect of Autonomy Design</title><author>Endsley, Mica R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c330t-13c4e78b56be019b2513084917720c07a9bfd36bc03cad46d8c6a64dde167ba23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Endsley, Mica R.</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of cognitive engineering and decision making</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Endsley, Mica R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Level of Automation Forms a Key Aspect of Autonomy Design</atitle><jtitle>Journal of cognitive engineering and decision making</jtitle><date>2018-03</date><risdate>2018</risdate><volume>12</volume><issue>1</issue><spage>29</spage><epage>34</epage><pages>29-34</pages><issn>1555-3434</issn><eissn>2169-5032</eissn><abstract>The concept of different levels of automation (LOAs) has been pervasive in the automation literature since its introduction by Sheridan and Verplanck. LOA taxonomies have been very useful in guiding understanding of how automation affects human cognition and performance, with several practical and theoretical benefits. Over the past several decades a wide body of research has been conducted on the impact of various LOAs on human performance, workload, and situation awareness (SA). LOA has a significant effect on operator SA and level of engagement that helps to ameliorate out-of-the-loop performance problems. Together with other aspects of system design, including adaptive automation, granularity of control, and automation interface design, LOA is a fundamental design characteristic that determines the ability of operators to provide effective oversight and interaction with system autonomy. LOA research provides a solid foundation for guiding the creation of effective human–automation interaction, which is critical for the wide range of autonomous and semiautonomous systems currently being developed across many industries.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><doi>10.1177/1555343417723432</doi><tpages>6</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1555-3434 |
ispartof | Journal of cognitive engineering and decision making, 2018-03, Vol.12 (1), p.29-34 |
issn | 1555-3434 2169-5032 |
language | eng |
recordid | cdi_crossref_primary_10_1177_1555343417723432 |
source | Access via SAGE |
title | Level of Automation Forms a Key Aspect of Autonomy Design |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-13T04%3A07%3A09IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-sage_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Level%20of%20Automation%20Forms%20a%20Key%20Aspect%20of%20Autonomy%20Design&rft.jtitle=Journal%20of%20cognitive%20engineering%20and%20decision%20making&rft.au=Endsley,%20Mica%20R.&rft.date=2018-03&rft.volume=12&rft.issue=1&rft.spage=29&rft.epage=34&rft.pages=29-34&rft.issn=1555-3434&rft.eissn=2169-5032&rft_id=info:doi/10.1177/1555343417723432&rft_dat=%3Csage_cross%3E10.1177_1555343417723432%3C/sage_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_sage_id=10.1177_1555343417723432&rfr_iscdi=true |